On the Importance of Gradients for Detecting Distributional Shifts in the Wild

1 October 2021

Papers citing "On the Importance of Gradients for Detecting Distributional Shifts in the Wild"

8 / 58 papers shown

Title
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming Yiyou Sun Ousmane Amadou Dia Yixuan Li OODD 24 95 0 08 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 32 90 0 08 Mar 2022
Training OOD Detectors in their Natural Habitats Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Yixuan Li OODD 24 89 0 07 Feb 2022
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 13 8 0 22 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 30 86 0 01 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 17 454 0 24 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 179 875 0 21 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016